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Zhijin Li

Photo of Zhijin Li

Address:

4800 Oak Grove Drive
M/S 300-323

Pasadena, CA 91109

Phone:

818.393.9058

Fax:

818.393.6720

Member of:

Ocean Circulation And Air Sea Interaction

Professional Experience

  • Jet Propulsion Laboratory - Research Technologist (2006-present)
  • Jet Propulsion Laboratory and Raytheon - Senior Physics Engineer (2001-2006)
  • Florida State University (1996-2001)
    • Research Associate, School of Computational Science Information Technology (2000-2001)
    • Postdoctoral Research Associate, Supercomputer Computations Research Institute (1996-2000)
  • Chinese Academy of Sciences, Beijing, China - Associate Professor, Institute of Atmospheric Physics (1994-1996)

Research Interests

  • Conceptual development and mathematical formulation of atmospheric and oceanic data assimilation algorithms
  • Implementation of advanced data assimilation algorithms for real-time forecasting systems
  • Parallel computing of atmospheric and oceanic modeling and adjoint systems
  • Development and application of adjoint models associated with sophisticated atmospheric and oceanic models and their physics
  • Predictability

Selected Publications

(More Than 70 Published)

  1. Li., Z., J. Wang, and L. Fu., 2019: An Observing System Simulation Experiment for ocean state estimation to assess the performance of the SWOT Mission. Part 1: A twin experiment, J. Geophy. Res., 124, 4838-4855.
  2. Li Z., F. M. Bingham, and P. Y. Li, 2019: Multiscale simulation, data assimilation and forecasting in support of the SPURS-2 field campaign. Oceanography, 32, 2, 76-83.
  3. Li. Z., C. Zuffada, S. T. Lowe, T. Lee and V. Zlotnicki, 2016: Analysis of GNSS-R Altimetry for Mapping Ocean Mesoscale Sea Surface Heights Using High-Resolution Model Simulations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 9, doi10.1109/JSTARS.2016.2581699.
  4. Feng, S., T. Lauvaux, S. Newman, P. Rao, R. Patarasuk, R. Ahmadov, A. Deng, K.W. Wong, D. O’Keeffe, J. Huang, Y. Song, K. Gurney, L.I. Diaz-Isaac, S. Jeong, M.L. Fischer, C.E. Miller, R.M. Duren, Z. Li, Y.L. Yung, S.P. Sander, 2016: Network Assessment for Atmospheric Monitoring of Urban CO2 Emissions Using a High-Resolution Land-Atmosphere Modelling System, Atmos. Chems. Phy., doi:10.5194/acp-2016-143.
  5. Li, Z., X. Chen, W. I. Gustafson, and A. Vogelmann, 2016: Spectral Characteristics of Background Error Covariance and Multiscale Data Assimilation, Int. J. Numer. Meth. Fluids, doi:10.1002/fld.4253
  6. Li, Z., J.C. McWilliams, K. Ide, and J.D. Fararra, 2015: A Multi-Scale Data Assimilation Scheme: Formulation and Illustration.  Mon. Wea. Rev., 143, 3804-3822.
  7. Li, Z., J.C. McWilliams, K. Ide, and J.D. Fararra, 2015: Coastal Ocean Data Assimilation Using A Multi-Scale Three-Dimensional Variational Scheme. Ocean Dynamics, 65, 1001-1015.
  8. Li, Z., S. Feng, Y. Liu, W. Lin, M. Zhang, T. Toto, A. Vogelmann, and S. Endo, 2014: Development of Fine Resolution Analysis and Expanded Properties of Large-Scale Forcing. Part I: Methodology and Evaluations, J. Geophy. Res., doi:10.1002/2014JD022245.
  9. Feng, S., Z. Li, Y. Liu, W. Lin, M. Zhang, A. Vogelmann,T. Toto, and, S. Endo, 2014: Developmen of Fine Resolution Analysis and Expanded Properties of Large-Scale Forcing. Part II, Scale-Awareness and Application to Single Column Models, J. Geophy. Res., doi: 10.1002/2014JD022254.
  10. Bingham, F. M., P. P. Li, Z. Li, Q. Vu, and Y. Chao, 2014: Data Management Support for the SPURS Atlantic Field Campaign, Oceanography, 28, 42-51.
  11. Bingham, F. M., J. Busecke, A. L. Gordon, C. F. Giulivi, Z. Li, 2014: The North Atlantic Subtropical Surface Salinity Maximum as Observed by Aquarius. J. Geophy. Res., doi:10.1022/2014JC009825.
  12. Busecke, J., A. L. Gordon, Z. Li, F. M. Bingham, and J. Font, 2014: Subtropical surface layer salinity budget and the role of mesoscale turbulence, J. Geophys. Res. Oceans, 119, 4124–4140, doi:10.1002/2013JC009715.
  13. Colas, F, X. Capet, J.C. McWilliams, Z. Li, 2013: Mesoscale Eddy Buoyancy Flux and Eddy-Induced Circulation in Eastern Boundary Currents. J. Phys. Oceanogr., 43, 1073–1095.
  14. Busecke, J., A. L. Gordon, Z. Li, F. M. Bingham, and J. Font, 2014: Subtropical surface layer salinity budget and the role of mesoscale turbulence, J. Geophys. Res. Oceans, 119, 4124–4140, doi:10.1002/2013JC009715
  15. Sepúlveda, H.H., P. Marchesiello , and Z. Li, 2013: Oceanic data assimilation study in northern Chile: use of a 3DVAR method, Latin American J. Aquatic Res., 41, 570-575.
  16. Li, Z., Y. Chao, J. C. Farrara, and J. C. McWilliams, 2012, Impacts of distinct observations during the 2009 Prince William Sound field experiment: A data assimilation study. Continental Shelf Research, DOI:10.1016/j.csr.2012.06.018.
  17. Li, Z., Z. Zang, Q. B. Li, Y. Chao, D. Chen, Z. Ye, Y. Liu, and K. N. Liou, 2013: A Three-Dimensional Variational Data Assimilation System for Multiple Aerosol Species with WRF/Chem and an Application to PM2.5 Prediction, Atmos. Chems. Phy., 13, 4265–4278, doi:10.5194/acp-13-4265-2013.
  18. Jin, X., C. Dong, J. Burian, J. C. McWilliams, D. B. Chelton, Z. Li, 2009: SST-Wind Interaction in Coastal Upwelling: Oceanic Simulation with Empirical Coupling, J. Phy. Oceanogr., 39, 2957-2970.
  19. Wang, X., Y. Chao, C. Dong, J. Farrara, Z. Li, and coauthors, 2009: Modeling Tides in Monterey Bay, California, Deep Sea Research, II 52, 169-191.
  20. Chao, Y., Z. Li, J. D. Farrara, and P. Huang, 2009: Blended sea surface temperatures from multiple satellites and in-situ observations for coastal oceans. J. Atmos. Oceanic Technol., 10.1175/2009JTECHO592.1
  21. Chao, Y., Z. Li, J. Farrara, J.C. McWilliams, and co-authors, 2008: A Real-time ocean forecasting system for the Monterey Bay, California. Deep Sea Research, doi:10.1016/j.dsr2.2008.08.011.
  22. Chao, Y., Z . Li, J.D. Farrara, M.A. Moline and O.M.E. Schofield, 2008: Synergistic applications of autonomous underwater vehicles and Regional Ocean Modeling System in coastal ocean forecasting. Limnol Oceanogr., 53, 2251-2263.
  23. Ramp, S.R, P. Lermusiaux, R. E. Davis, Y. Chao, D. Fratantoni, N.E. Leonard, J.D. Paduan, F. Chavez, I. Shulman, J. Marsden, W. Leslie, and Z. Li, 2009: The Autonomous Ocean Sensing Network (AOSN) predictive skill experiment in the Monterey Bay, Deep Sea Research, doi:10.1016/j.dsr2.2008.08.013.
  24. Li, Z., Y. Chao, J.C. McWilliams, and K. Ide, 2008: A three-dimensional variational data assimilation scheme for the Regional Ocean Modeling System. J. Atmos. Oceanic Tech., 25, 2074-2090.
  25. Li, Z., Y. Chao, J.C. McWilliams, and K. Ide, 2008: A three-dimensional variational data assimilation scheme for the Regional Ocean Modeling System: Implementation and basic experiments. J. Geophy. Res., doi:10.1029/2006JC004042.
  26. Li, Z., Y. Chao, and J.C. McWilliams, 2006: Computation of the streamfunction and velocity potential for limited and irregular domains. Mon. Weather. Rev., 134, 3384-3394.
  27. Li, Z., I. M. Navon, and Y.M. Hussaini, 2005: Analysis of the singular vectors of the full-physics FSU global spectral model. Tellus A, 57, 560-574.
  28. Chao, Y., Z. Li, J. Kindle, F. Chavez, and J. Paduan, 2003: A high-resolution surface vector wind product forcoastal oceans: Blending satellite scatterometer measurements with regional mesoscale atmospheric model simulations. Geophys. Res. Lett., 30, 1013, doi10.1029/2002GL015729.
  29. Li, Z., I.M. Navon, Y.M. Hussaini, and F.-X. Le Dimet, 2003: Optimal Control of Cylinder wakes via suction and blowing. The Computer & Fluid, 32, 149-171.
  30. Homescu C, Navon IM, Li Z, 2002: Suppression of vortex shedding for flow around a circular cylinder using optimal control. Internat. J. Numer. Methods Fluids, 38, 43-69.
  31. Li, Z., and I. M. Navon, 2001: Optimality of Variational Data Assimilation and Its Relationship with the Kalman Filter and Kalman Smoother. Quart. J. Roy. Meteorol. Soc., 127, 661-684.
  32. Li, Z., I. M. Navon, and Y. Zhu, 2000: Performance of 4D-Var Strategies Using the FSU Global Spectral Model with Its Full Physics Adjoint. Mon. Wea. Rev., 128, 668-688.
  33. Li, Z., A. Barcilon, and I. M. Navon, 1998: Study of Block Onset Using Sensitivity Perturbations in Climatological Flows. Mon. Wea. Rev., 127, 879-900.
  34. Li, Z., and I. M. Navon, 1998: Adjoint Sensitivity of the Earth's Radiation Budget in the NCEP/MRF Model. J. Geophy. Res., 103 (D4), 3801-3814.
  35. Li, Z., and L. Ji, 1997: Efficient Forcing and Teleconnection Patterns. Quart. J. Roy. Meteorol. Soc., 123, 2401-2423.